code: def fill_up_weights(up):
      w = up.weight.data
      f = math.ceil(w.size(2) / 2)
      c = (2 * f - 1 - f % 2) / (2.0 * f)
      for i in range(w.size(2)):
          for j in range(w.size(3)):
              w[0, 0, i, j] = (1 - math.fabs(i / f - c)) * (
                  1 - math.fabs(j / f - c)
              )
      for c in range(1, w.size(0)):
          w[c, 0, :, :] = w[0, 0, :, :]
  
file_path: pywick/pywick/models/segmentation/drn_seg.py
imports: from .drn import *
  import torch.nn
  import math
  import torch.nn.functional
label_desc: Use image node_id 1 for calling a global function with example usage: fill_up_weights(up) without return types